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@@ -5,12 +5,63 @@ tags:
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  - feature-extraction
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  - sentence-similarity
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  - transformers
 
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  license: apache-2.0
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  datasets:
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  - unicamp-dl/mmarco
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  language:
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  - it
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  library_name: sentence-transformers
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # mmarco-sentence-flare-it
 
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  - feature-extraction
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  - sentence-similarity
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  - transformers
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+ - mteb
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  license: apache-2.0
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  datasets:
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  - unicamp-dl/mmarco
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  language:
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  - it
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  library_name: sentence-transformers
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+ model-index:
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+ - name: mmarco-sentence-flare-it
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+ results:
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/amazon_massive_intent
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+ name: MTEB MassiveIntentClassification (it)
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+ config: it
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+ split: test
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+ revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
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+ metrics:
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+ - type: accuracy
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+ value: 22.299932750504368
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+ - type: f1
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+ value: 20.147804322480262
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/amazon_massive_scenario
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+ name: MTEB MassiveScenarioClassification (it)
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+ config: it
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+ split: test
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+ revision: 7d571f92784cd94a019292a1f45445077d0ef634
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+ metrics:
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+ - type: accuracy
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+ value: 27.40753194351042
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+ - type: f1
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+ value: 25.187141587127705
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+ - task:
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+ type: STS
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+ dataset:
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+ type: mteb/sts22-crosslingual-sts
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+ name: MTEB STS22 (it)
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+ config: it
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+ split: test
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+ revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
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+ metrics:
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+ - type: cos_sim_pearson
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+ value: 30.67175493186678
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+ - type: cos_sim_spearman
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+ value: 37.92638638971281
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+ - type: euclidean_pearson
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+ value: 37.47072224334179
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+ - type: euclidean_spearman
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+ value: 39.23036609148336
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+ - type: manhattan_pearson
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+ value: 42.92657347688227
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+ - type: manhattan_spearman
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+ value: 43.93955531904934
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  ---
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  # mmarco-sentence-flare-it